Arbeitspapier

Nonlinearities and the Determinants of Inequality: New Panel Evidence

Relying on data for a panel of 90 economies over 1970-2015 and System-GMM estimates, we extend the standard Kuznets-curve empirical framework to investigate how financial development, globalisation and technology affect income inequality. Our findings reveal the presence of significant nonlinearities, consistent with either U-shaped or inverted U-shaped relationships. As such, depending on whether a certain threshold value is achieved, the same determinants of income distribution can exert opposite effects in different countries. Globalisation is associated to increasing inequality in most advanced economies, but to falling disparities for the large majority of emerging economies. Further, while the effects for advanced economies are mixed, technology and financial development lead to increasing inequality for most emerging economies. Hence, particularly in countries in earlier stages of development, policymakers aiming at fostering growth via technological progress or financial development should also consider the nature of the trade-offs with inequality and how policy can improve them.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 022.2020

Klassifikation
Wirtschaft
Econometrics
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Economic Impacts of Globalization: Economic Development
Macroeconomic Analyses of Economic Development
Economic Development: Human Resources; Human Development; Income Distribution; Migration
Technological Change: Choices and Consequences; Diffusion Processes
Thema
Inequality
Globalisation
Technology
Finance
Nonlinearity
Panel data

Ereignis
Geistige Schöpfung
(wer)
Gravina, Antonio Francesco
Lanzafame, Matteo
Ereignis
Veröffentlichung
(wer)
Fondazione Eni Enrico Mattei (FEEM)
(wo)
Milano
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Gravina, Antonio Francesco
  • Lanzafame, Matteo
  • Fondazione Eni Enrico Mattei (FEEM)

Entstanden

  • 2020

Ähnliche Objekte (12)